Data Engineer – Oncology Analytics Platform

RaySearch develops software that supports cancer treatment at hospitals and radiotherapy clinics worldwide. We are looking for a Data Engineer to work on RayIntelligence, an oncology analytics platform helping radiotherapy clinics turn data into actionable insights. About RayIntelligence Radiotherapy clinics generate large amounts of clinical and operational data every day. Much of this information remains difficult to access, analyze, and act upon. RayIntelligence is designed specifically for radiotherapy clinics and brings together data from treatment planning systems, oncology information systems, and other clinical and operational sources. The platform supports everything from treatment workflow analysis, patient volumes, machine utilization, and resource planning to the analysis of treatment patterns and long-term patient outcomes. By making data more accessible and trustworthy, RayIntelligence enables clinics to better understand their operations, learn from past treatments, and continuously improve care. For healthcare analytics to be useful, clinics need confidence in the data they are using. Metrics must be calculated consistently, results must be understandable, and the path from source data to displayed insight must be possible to verify. The platform is already deployed at customer sites, and we are now focused on expanding both its analytical capabilities and its adoption across clinics worldwide. About The Role The role spans data ingestion, integration, transformation, analytical data modeling, and the implementation of new analytics use cases. Working in healthcare brings unique engineering challenges. Data quality, traceability, reproducibility, validation, and risk management are important parts of how we develop software. While RayIntelligence is not a medical device, we apply many of the same engineering principles and quality practices used throughout RaySearch. Unlike internal analytics teams, we are building a product for environments where we do not operate the source systems ourselves. Development must therefore account for limited access to real-world customer data, variation between customer environments, and the need to build analytics that clinics can understand and trust. The platform currently focuses on analytics and reporting use cases, but future AI and machine learning capabilities are expected to build upon the foundations being developed today. RaySearch supports the use of modern AI-assisted development tools where appropriate, while maintaining the quality standards and engineering rigor required in healthcare software development. Responsibilities

• Capture and integrate data from clinical and operational source systems
• Design, build, and maintain data ingestion and transformation pipelines
• Develop analytical data models supporting product capabilities and customer use cases
• Implement new analytics capabilities using SQL and Python
• Contribute to architecture and design decisions related to scalability, maintainability, and data quality
• Improve observability, traceability, and reliability across the platform
• Ensure that metrics, transformations, and data flows can be understood, tested, and verified
• Participate in validation, testing, and risk-management activities appropriate for healthcare software environments

Technology Stack Our Platform Includes Technologies And Programming Languages Such As

• Python & SQL
• PostgreSQL & SQL Server
• dbt
• AWS
• CDC-based ingestion
• Apache Superset

Your Profile We believe successful candidates will typically have experience in several of the following areas:

• SQL development
• Python development
• Data engineering and ELT/ETL development
• Data modeling and data warehousing, experience designing analytical data models based on complex operational systems with many entities, relationships, and business rules
• Experience applying software engineering best practices to data platforms and production systems
• Translating product and analytical requirements into robust technical solutions
• Working with data quality, observability, testing, or traceability in production data systems
• Formal education in Computer Science, Engineering, Mathematics, or a related field is beneficial. Equivalent practical experience is equally valued
• Seniority is typically demonstrated through several years of professional experience designing, building, and operating production data systems

Our Culture At RaySearch, we share a passion for innovation and the fight against cancer. Our team consists of dedicated experts who strive to deliver exceptional results through collaboration, attention to detail, and cutting-edge technology. We take pride in our role as a leader in cancer treatment, developing solutions that truly make a difference for patients worldwide. Our Offer We offer a dynamic and inclusive work environment in Hagastaden, Stockholm’s Life Science Hub. Our modern office space includes an in-house gym, yoga classes, and social activities such as ping pong, table football, and after-work events. We also provide a fantastic lunch buffet, daily fika, and a stunning rooftop terrace with a 360-degree view of Stockholm. This comes with a competitive compensation and benefits package. Application Please apply for the position through the application form below. We do not accept applications via e-mail.